This paper presents a control system design for magnetic levitation (Maglev) or MLS using sliding mode (SMC). The problem of levitating the object in air will be solved controller. Inductors used make have nonlinear characteristics. Thus, controller is most suitable MLS. SMC one controllers with good robustness and can handle any model mismatch. Based on simulation results step as input reference, provided performances: 0.0991s rise time, 0.1712s settling 0.0159 overshoot. Moreover,...

The inverted pendulum system is highly popular in control applications and has the characteristics of unstable, nonlinear, fast dynamics. A nonlinear controller needed to a with these characteristics. In addition, there are disturbances parameter uncertainty issues be solved system. Therefore, this study uses controller, which backstepping sliding mode control. robust so that it suitable for controlling an Based on testing step sine reference signals without interference, can stabilize well...

Artificial potential field (APF) is the effective real-time guide, navigation, and obstacle avoidance for UAV Quadrotor. The main problem in APF local minima an or multiple obstacles. In this paper, some modifications improvements of will be introduced to solve one-obstacle minima, two-obstacle Goal Not Reachable Near Obstacle (GNRON) dynamic obstacle. result shows that improved gave best because it made system reach goal position all examinations. Meanwhile, with virtual force has fastest...

This paper aims to adapt and apply genetic distance metrics in biomedical signal processing improve the classification monitoring of neurological disorders, specifically Alzheimer’s disease frontotemporal dementia. The primary objectives are: (1) quantify variability EEG patterns among distinct subtypes neurodegenerative disorders healthy individuals, (2) explore potential a novel similarity metric establishing correlations between brain dynamics clinical progression. Using dataset...

Misogyny is a severe social problem that affects women's mental and physical health or even leads to femicide. This cultural visible prevalent in different communication channels, such as music media, confirming inciting this behavior. Hence, the automatic detection of misogynistic content media using computational methods analyze language increasing interest. Most approaches follow supervised machine learning strategy, with main challenge capturing diversity complexity offensive directed at...

This paper presents the utilization of ESP32 microcontroller as a teaching tool for signal acquisition, processing, and control theory in biotechnological engineering. The microcontroller, equipped with Bluetooth WiFi capabilities, offers an affordable versatile solution educational purposes. By leveraging Arduino© software, students can easily learn programming utilize various peripherals such sensors actuators. Several practical exercises related to process have been conducted using this...

This paper shows the implementation of a fuzzy controller applied for magnetic levitation, to make this, characterization actuator was computed by using ANSYS® analysis. The control law Mamdani PD implemented with two microcontrollers, get smooth signal, it used model reference. A learning scheme update consequents rules. Different reference signals and disturbances were system show robustness controller. Finally, LabVIEW® plot results.

In this work it is showed fuzzy model, trained with ANFIS algorithm, to estimate water evapotranspiration (ET) of a tomato plant, as witness in the production greenhouse. There are two variables used, VPD that represents microclimate greenhouse and mass was measured digital balance (lysimeter). Additionally, second lysimeter used prove result structure by means principle, proved effectiveness model proposed. The experimental results here presented from days, pot plant saturated no irrigation...

Instrumentation to measure microclimate in greenhouses is a task developing before starting the identification and control moisture temperature greenhouses, variable which best describe helps prevent fungus disease risks, vapor pressure deficit (VPD), it measured indirectly by means of two inputs: humidity, psychrometric chart, another way using interpolation models. This paper shows methodology VPD, fuzzy modeling type Takagi-Sugeno (T-S). Fuzzy based on expert human knowledge, additionally...

This article studies the most common methods of autonomous vehicle guidance, as well a review companies that have already developed their own self-guided tractors. The for guidance are through position obtained from an RTK-GPS and by artificial vision. For both cases, sensors to be implemented help task assigned, such LIDAR sensors, proximity among others, detect tractor know working environment define correct route even avoid collision, comply with assigned task, managing improve production...

Fault diagnosis is an important issue in industrial processes to avoid economic losses, process damage, and guarantee safe working conditions for the operators. For high scale data-driven based methods are best solution monitoring fault diagnosis. Thus, this paper, principal component analysis shown detect isolate faults. Also, a dynamic threshold implemented false alarms because incipient faults difficult be detected. As case of study, Tennessee Eastman (TE) used apply strategy interaction...

This paper presents a control scheme to tune online the proportional, integral and derivative gains of discrete PID controller, through identification SISO stable minimum phase dynamic system. is accomplished using radial basis network neural with daughter Morlet wavelets activation functions in cascaded an infinite impulse response (IIR) filter. applied real time speed AC three-phase induction motor supplied inverter. So this way we show how can be implemented type plants that are widely...

There exist some physical systems whose underactuation and limited sensing represent a challenge in engineering. The former requires model-based nesting or virtual control schemes to the underactuated degrees of freedom through actuated ones, while latter imposes stringent requirements design controller using only partial access state, called output feedback. In this paper, we address feedback class uncertain nonlinear that is not neither require state estimation. Output are circumvented by...

Based on adaptive wavelet neural networks, a PID discrete control scheme for induction motor drives is presented. An auto-tuning wavenet synthesized the feedback gains by means of gradient-descendent algorithm through online plant identification. The latter uses input and output data radial basis network (RBNN) with different daughter activation functions. Infinite impulse response filter in cascade RBNN introduced to prune nodes that contribute poorly an efficient identification even though...

El diagnóstico de fallas es importante en los procesos industriales, ya que permite determinar si necesario detener el proceso operación y/o proponer un plan mantenimiento. En presente trabajo se comparan dos estrategias para diagnosticar fallas. La primera realiza preprocesamiento datos usando análisis componentes independientes reducir la dimensión datos, posteriormente, emplea transformada wavelet resaltar las señales falla, con esta información alimenta una red neuronal artificial. Por...